Spectrum Utilization Improvement for Multi-Channel Cognitive Radio Networks with Energy Harvesting

Sun, Wendi; Li, Xiaoying; Zheng, Kechen; Xu, Yang; Liu, Jia

doi:10.1109/nana53684.2021.00009

Cited by 3 publications

(4 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…4. For satellites 𝑆𝑆 𝐴𝐴 and 𝑆𝑆 𝐵𝐵 to satisfy the chain building condition, they should also satisfy the relationship in (4). Sensing Algorithm for Space-based Satellite Networks…”

Section: Antenna Visibility Conditionsmentioning

confidence: 99%

“…Most of the current LEO satellites use L or UHF bands, which are already very crowded at present, and the fixed spectrum allocation method makes a large portion of the designated spectrum used occasionally, which leads to low spectrum utilization [4]. Therefore, spectrum sensing techniques need to be accessed to deal with the problem of spectrum inefficiency.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

View full text Add to dashboard Cite

In Low Earth Orbit (LEO) satellite networks, satellites operate fast and the inter-satellite link change period is short. In order to sense the spectrum state in LEO satellite networks in realtime, a space-based satellite network intelligent spectrum sensing algorithm based on artificial neural network (ANN) is proposed, while Geosynchronous Earth Orbit (GEO) satellites are introduced to make fast and effective judgments on the spectrum state of LEO satellites by using their stronger arithmetic power. Firstly, the visibility constraints between LEO satellites and GEO satellites are analyzed to derive the inter-satellite link building matrix and complete the inter-satellite link situational awareness. Secondly, an ANN-based energy detection (ANN-ED) algorithm is proposed based on the traditional energy detection algorithm and artificial neural network. The ANN module is used to determine the spectrum state and optimize the traditional energy detection algorithm. GEO satellites are used to fuse the information sensed by LEO satellites and then give the spectrum decision, thereby realizing the inter-satellite spectrum state sensing. Finally, the sensing quality is evaluated by the analysis of sensing delay and sensing energy consumption. The simulation results show that our proposed algorithm has lower complexity, the sensing delay and sensing energy consumption compared with the traditional energy detection method.

show abstract

Section: Antenna Visibility Conditionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

2023

KSII TIIS

View full text Add to dashboard Cite

show abstract

“…In this paper, we investigate the issue of time allocation for RF-powered EH-CRNs, where the secondary transmitter (ST) first harvests energy from the RF signals in the multichannel, determines the number of licensed subchannels to sense, and then exploits the inactive channels to transmit packets to the SR by consuming the harvested energy. What should be pointed out is that we have investigated the multichannel spectrum sensing performed by the multiantenna ST with EH functionality in [23], where we coordinate the time scheduling and energy management to improve the spectrum utilization efficiency. Therefore, the tradeoff between the duration of packet transmission and the consumed energy for transmission has not been well addressed in [23].…”

Section: Introductionmentioning

confidence: 99%

“…What should be pointed out is that we have investigated the multichannel spectrum sensing performed by the multiantenna ST with EH functionality in [23], where we coordinate the time scheduling and energy management to improve the spectrum utilization efficiency. Therefore, the tradeoff between the duration of packet transmission and the consumed energy for transmission has not been well addressed in [23]. Besides, Alsharoa et al [19] adopted a time switching protocol, where SUs switch over time between sensing and EH, while the time tradeoff among the EH phase, sensing phase, and transmission phase has not been studied.…”

Section: Introductionmentioning

confidence: 99%

Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Liu

Xia

et al. 2022

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

From the perspective of time domain and frequency domain, we investigate the energy harvesting cognitive radio networks (EH-CRNs) with multichannel, where the secondary transmitter (ST) opportunistically accesses the licensed subchannels to transmit packets by consuming the harvested energy. To explore the spectrum holes and improve the lifetime of the EH-CRNs, the ST scavenges energy from the radio-frequency (RF) signal in the wide band during the energy harvesting (EH) phase and exploits the harvested energy for sequential sensing and packet transmission during the rest of the time slot. Under the energy constraint, the secondary throughput is improved by optimizing the time allocation among the EH phase, sensing phase, and transmission phase. We formulate the secondary throughput with respect to the durations of the three phases, prove the existence of the optimal time allocation, and discuss the secondary throughput in three cases of the EH-CRNs. Finally, numerical results validate the theoretical results about the secondary throughput and explore the impacts of key system parameters.

show abstract

Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing

Zheng,

Wang,

Chen

et al. 2024

IET Communications

View full text Add to dashboard Cite

Due to the ever‐growing applications and services of the Internet of Things (IoT), designing energy‐efficient and spectral‐efficient transmission schemes to support IoT devices for the 6G space–air–ground integrated networks becomes much more challenging. Fortunately, energy harvesting (EH) and cognitive radio (CR) technologies have been proposed to alleviate these challenges. Inspired by this fact, this paper studies the issue of spectrum reuse in terms of spectrum utilization efficiency (SUE) in the energy harvesting cognitive radio network (EH‐CRN), where multiple primary transceiver pairs, one multi‐antenna secondary transmitter (ST), and one secondary base station (SBS) coexist. To characterize the impact of small‐scale fading and improve the SUE of the EH‐CRN with perfect spectrum sensing (SS), an adaptive scheme concerning SS, channel selection, EH, and data transmission (SCED) scheme are proposed, where the ST selects the channels for SS based on the residual energy, and adjusts the duration of EH and data transmission with respect to the sensing results. Then the Markov decision process problem of SUE is formulated, which is challenging due to the infinite system space and action space. To tackle the Markov decision process problem, the system space and action space are discreted, and divide the ST into the energy‐limited case and energy‐sufficient case according to specific energy condition. Moreover, theoretical results are extended to the EH‐CRN with imperfect SS. Numerical results show that the SUE under the SCED scheme in perfect SS and imperfect SS scenarios is better than that under other schemes.

show abstract

Spectrum Utilization Improvement for Multi-Channel Cognitive Radio Networks with Energy Harvesting

Cited by 3 publications

References 17 publications

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

An ANN-based Intelligent Spectrum Sensing Algorithm for Space-based Satellite Networks

Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Spectrum utilization improvement for multi‐channel EH‐CRN with spectrum sensing

Contact Info

Product

Resources

About